Jobs at Robotic Assistance Devices

The Staff Software Engineer will lead the design and development of complex software systems, driving architectural decisions and ensuring high-quality delivery across teams while mentoring other engineers.

The Senior Software Engineer will design, develop, and maintain scalable software systems, collaborating with cross-functional teams and ensuring high-quality delivery.

Design, build, and operate scalable cloud infrastructure and CI/CD pipelines for SaaS platforms. Manage Kubernetes deployments, implement IaC, run performance/load tests (k6), monitor reliability and performance, enforce security best practices, and optimize cloud costs while collaborating with engineering, QA, and product teams.

As a Multi-modal Data Curator, you'll generate accurate captions for diverse datasets, ensuring quality and adherence to guidelines while collaborating with AI experts.

Lead the software implementation team, combining technical support escalation engineering with program management. Oversee deployments of RADs robotics and AI solutions, manage escalations, coordinate cross-functional teams, ensure delivery quality, and drive operational processes for successful customer rollouts.

Lead and expand the hardware deployment group, serving as the core of Operations. Combine technical escalation support for robotic systems with program management duties to coordinate deployments, ensure performance and quality, and liaise with engineering and product teams.

Lead applied AI and machine learning research, design models, manage research initiatives, and translate findings into practical solutions while collaborating with teams.

The Lead Business Analyst will gather business requirements, maintain documentation, ensure clarity between teams, and support project lifecycle management.

The Full-Stack Engineer will develop and maintain web applications, collaborate across teams for features, and ensure performance and security across front-end and back-end stacks.

Design and develop agentic AI systems and intelligent automation pipelines. Responsibilities include creating AI applications, RAG systems, and QA automation frameworks while managing deployment and integration of AI across surveillance solutions.